BCS Artificial Intelligence Foundation Certificate – Virtual Classroom

Is the BCS Artificial Intelligence Foundation course suitable for me?  

The BCS Artificial Intelligence Foundation certificate training course would be suitable for individuals with an interest or responsibility in implementing AI within an organisation. 

Middle and Senior Manager's responsible for organising AI dependent team's services and applications would also benefit from this training course. 

Typically, this course will benefit individuals who work in the following sectors:

•  Science
•  Engineering
•  Knowledge Engineering
•  Finance
•  IT Services

Studying this BCS Artificial Intelligence training course will be a real benefit to anyone entering the world of AI, as you will learn the terminology, techniques and knowledge required to implement AI practices in your organisation. 

BCS Membership Benefits

This course benefits from 1-year BCS membership worth £92, which is available when you pass your first exam.

Benefits of this Associate Membership include:

•  Professional recognition
•  Career development
•  Networking 
•  Knowledge and best practice 
•  Exclusive discounts and offers

Read full membership details here. 

What jobs can I apply for after my BCS Artificial Intelligence training? 

Artificial Intelligence training would enable you to apply for a wide range of jobs, including:  

•    Machine Learning Researcher - £35k
•    Data Mining and Analysis Professional - £47k
•    Data Scientist - £47k
•    Business Intelligence (BI) Developer - £47k 
•    Machine Learning Engineer - £52k
•    Artificial Intelligence Engineer - £65k

(Source: JobsInIT)

Artificial Intelligence training would also help enhance other sectors, including:   

•    Science 
•    Engineering
•    Web Page Development 
•    Professional Research
•    Organisational Change
•    Process Management 
•    Business Change Managers 
•    Programme Management

Why study the BCS Essentials Certificate in Artificial Intelligence course with us? 

We have developed an expert team over the last 10 years since our inception. In that time, we have trained over 630,000 delegates globally, which has helped offer the highest quality training. 

By refining our processes, partner relationships, and course materials, we can offer high-quality training solutions for our delegates. 

We're proud of our excellent rating on TrustPilot, with over 14,000 reviews from our past students.

You will also benefit from: 

•  Exam Pass Guarantee*.
•  1-year BCS membership included, worth £92!
•  Fast-track your learning with our Virtual Classroom course
•  Expert trainers with vast experience in this field
•  Interest-free payment options if required

*How does the Exam Pass Guarantee work?

Our Virtual Classroom training sessions provided higher pass rates, helping us offer an Exam Pass Guarantee. 

The Exam Pass Guarantee enables you to attend this training course again with us for free, should you fail for any reason. 

All we ask is that you:

•  Attend all class days and complete all assignments.
•  Take the exam within 30 days of completing your Virtual Classroom training.
•  Request your course re-enrolment within 30 days of the failed exam attempt.

Please Note: Students retaking the course are required to use the materials and books distributed to them in their original course session. Failure to provide these materials will result in the student being charged for replacement materials.

Exam Pass Guarantee does not include the resit exam; this would need to be purchased at an additional cost.

BCS Artificial Intelligence Syllabus

Learning Outcomes

•  Human-centric Ethical and Sustainable Human and Artificial Intelligence.
•  Artificial Intelligence and Robotics.
•  Applying the benefits of AI projects - challenges and risks.
•  Machine Learning Theory and Practice – Building a Machine Learning Toolbox.
•  The Management, Roles and Responsibilities of Humans and Machines – The Future of AI. 

BCS Artificial Intelligence Syllabus

Ethical and Sustainable Human and Artificial Intelligence (20%)

•  Recall the general definition of Human and Artificial Intelligence (AI).
•  Describe the concept of intelligent agents.
•  Describe a modern approach to Human logical levels of thinking using Robert Dilt’s Model.
•  Describe what are Ethics and Trustworthy AI.
•  Describe the three fundamental areas of sustainability and the United Nation’s seventeen sustainability goals.
•  Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
•  Understand that ML is a significant contribution to the growth of Artificial Intelligence.
•  Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).

Artificial Intelligence and Robotics (20%)

•  Demonstrate understanding of the AI intelligent agent description
•  Describe what a robot is, robotic paradigms and describe what an intelligent robot is

Applying the benefits of AI - challenges and risks (15%)

•  Describe how sustainability relates to human-centric ethical AI and how our values will drive our use of AI will change humans, society, and organisations.
•  Explain the benefits of Artificial Intelligence.
•  Describe the challenges of Artificial Intelligence.
•  Demonstrate understanding of the risks of AI project.
•  List opportunities for AI.
•  Identify a typical funding source for AI projects and relate to the NASA Technology Readiness Levels (TRLs).
•  Starting AI how to build a Machine Learning Toolbox - Theory and Practice (30%)
•  Describe how we learn from data – functionality, software, and hardware,
•  List common open source machine learning functionality, software, and hardware.
•  Describe introductory theory of Machine Learning.
•  Describe typical tasks in the preparation of data.
•  Describe typical types of Machine Learning Algorithms.
•  Describe the typical methods of visualising data.
•  Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality.

The Management, Roles and Responsibilities of humans and machines (15%)

•  Demonstrate an understanding that Artificial Intelligence (in particular, Machine Learning) will drive humans and machines to work together. 
•  List future directions of humans and machines working together.
•  Describe a ‘learning from experience’ Agile approach to projects
•  Describe the type of team members needed for an Agile project.

BCS Artificial Intelligence Exam Details 

•  Exam Format - Multiple-choice
•  Number of questions – 40
•  Duration - 60-Mins
•  Supervised - Yes
•  Open book - No
•  Pass mark – 26/40 (65%)